Dataset statistics
| Number of variables | 15 |
|---|---|
| Number of observations | 732 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 15 |
| Duplicate rows (%) | 2.0% |
| Total size in memory | 642.0 KiB |
| Average record size in memory | 898.0 B |
Variable types
| Categorical | 9 |
|---|---|
| Numeric | 6 |
| Dataset has 15 (2.0%) duplicate rows | Duplicates |
pr_user has a high cardinality: 225 distinct values | High cardinality |
rev_user has a high cardinality: 218 distinct values | High cardinality |
Belege is highly correlated with Rechtschreibung | High correlation |
Formatierung is highly correlated with Sprache | High correlation |
Strukturierung des Beitrags is highly correlated with Rechtschreibung and 4 other fields | High correlation |
Rechtschreibung is highly correlated with Belege and 5 other fields | High correlation |
Sprache is highly correlated with Formatierung and 5 other fields | High correlation |
Inhalt is highly correlated with Strukturierung des Beitrags and 4 other fields | High correlation |
Einordnung in den Kontext is highly correlated with Strukturierung des Beitrags and 4 other fields | High correlation |
Ansprechend für Zielgruppe is highly correlated with Strukturierung des Beitrags and 4 other fields | High correlation |
pr_user is uniformly distributed | Uniform |
rev_user is uniformly distributed | Uniform |
Reproduction
| Analysis started | 2021-12-09 15:42:48.771010 |
|---|---|
| Analysis finished | 2021-12-09 15:42:57.895304 |
| Duration | 9.12 seconds |
| Software version | pandas-profiling v3.1.1 |
| Download configuration | config.json |
| Distinct | 225 |
|---|---|
| Distinct (%) | 30.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 47.4 KiB |
| fa97fyka | 8 |
|---|---|
| Ne88peni | 8 |
| mirela08 | 7 |
| Steffi226 | 7 |
| LaHe27 | 7 |
| Other values (220) |
Length
| Max length | 19 |
|---|---|
| Median length | 8 |
| Mean length | 9.087431694 |
| Min length | 4 |
Characters and Unicode
| Total characters | 6652 |
|---|---|
| Distinct characters | 63 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 6 ? |
|---|---|
| Unique (%) | 0.8% |
Sample
| 1st row | AnnaSophieNi |
|---|---|
| 2nd row | AnnaSophieNi |
| 3rd row | Gilchus |
| 4th row | TommiMueller |
| 5th row | TommiMueller |
Common Values
| Value | Count | Frequency (%) |
| fa97fyka | 8 | 1.1% |
| Ne88peni | 8 | 1.1% |
| mirela08 | 7 | 1.0% |
| Steffi226 | 7 | 1.0% |
| LaHe27 | 7 | 1.0% |
| jsk0lb | 6 | 0.8% |
| zo54hoko | 6 | 0.8% |
| 5SY5 | 6 | 0.8% |
| AnjaKlostermeier | 6 | 0.8% |
| ig27oqaf | 6 | 0.8% |
| Other values (215) | 665 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| fa97fyka | 8 | 1.1% |
| ne88peni | 8 | 1.1% |
| mirela08 | 7 | 1.0% |
| steffi226 | 7 | 1.0% |
| lahe27 | 7 | 1.0% |
| alexandermueller296 | 6 | 0.8% |
| za22regi | 6 | 0.8% |
| moritzbock | 6 | 0.8% |
| lianalia | 6 | 0.8% |
| fabrigh | 6 | 0.8% |
| Other values (215) | 665 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 637 | 9.6% |
| e | 551 | 8.3% |
| i | 462 | 6.9% |
| n | 386 | 5.8% |
| r | 361 | 5.4% |
| l | 298 | 4.5% |
| o | 248 | 3.7% |
| s | 231 | 3.5% |
| u | 227 | 3.4% |
| t | 190 | 2.9% |
| Other values (53) | 3061 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 4955 | |
| Decimal Number | 949 | 14.3% |
| Uppercase Letter | 720 | 10.8% |
| Dash Punctuation | 28 | 0.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 637 | |
| e | 551 | |
| i | 462 | 9.3% |
| n | 386 | 7.8% |
| r | 361 | 7.3% |
| l | 298 | 6.0% |
| o | 248 | 5.0% |
| s | 231 | 4.7% |
| u | 227 | 4.6% |
| t | 190 | 3.8% |
| Other values (16) | 1364 |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 73 | 10.1% |
| L | 71 | 9.9% |
| A | 67 | 9.3% |
| S | 65 | 9.0% |
| B | 35 | 4.9% |
| H | 34 | 4.7% |
| K | 33 | 4.6% |
| C | 33 | 4.6% |
| F | 32 | 4.4% |
| J | 32 | 4.4% |
| Other values (16) | 245 |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 181 | |
| 0 | 165 | |
| 1 | 143 | |
| 9 | 101 | |
| 4 | 81 | |
| 8 | 76 | |
| 7 | 64 | 6.7% |
| 6 | 53 | 5.6% |
| 3 | 51 | 5.4% |
| 5 | 34 | 3.6% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 28 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 5675 | |
| Common | 977 | 14.7% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 637 | 11.2% |
| e | 551 | 9.7% |
| i | 462 | 8.1% |
| n | 386 | 6.8% |
| r | 361 | 6.4% |
| l | 298 | 5.3% |
| o | 248 | 4.4% |
| s | 231 | 4.1% |
| u | 227 | 4.0% |
| t | 190 | 3.3% |
| Other values (42) | 2084 |
Common
| Value | Count | Frequency (%) |
| 2 | 181 | |
| 0 | 165 | |
| 1 | 143 | |
| 9 | 101 | |
| 4 | 81 | |
| 8 | 76 | |
| 7 | 64 | 6.6% |
| 6 | 53 | 5.4% |
| 3 | 51 | 5.2% |
| 5 | 34 | 3.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6652 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 637 | 9.6% |
| e | 551 | 8.3% |
| i | 462 | 6.9% |
| n | 386 | 5.8% |
| r | 361 | 5.4% |
| l | 298 | 4.5% |
| o | 248 | 3.7% |
| s | 231 | 3.5% |
| u | 227 | 3.4% |
| t | 190 | 2.9% |
| Other values (53) | 3061 |
| Distinct | 218 |
|---|---|
| Distinct (%) | 29.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 47.4 KiB |
| Teemoma | 9 |
|---|---|
| xyily | 6 |
| LKmps2021 | 6 |
| nicolasrmg | 6 |
| LeahMtmb | 6 |
| Other values (213) |
Length
| Max length | 19 |
|---|---|
| Median length | 8 |
| Mean length | 9.081967213 |
| Min length | 4 |
Characters and Unicode
| Total characters | 6648 |
|---|---|
| Distinct characters | 63 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 4 ? |
|---|---|
| Unique (%) | 0.5% |
Sample
| 1st row | TommiMueller |
|---|---|
| 2nd row | Gilchus |
| 3rd row | TommiMueller |
| 4th row | ChrisBohl |
| 5th row | biancamg |
Common Values
| Value | Count | Frequency (%) |
| Teemoma | 9 | 1.2% |
| xyily | 6 | 0.8% |
| LKmps2021 | 6 | 0.8% |
| nicolasrmg | 6 | 0.8% |
| LeahMtmb | 6 | 0.8% |
| Kisara2426 | 6 | 0.8% |
| Christoph-Mantsch | 6 | 0.8% |
| Ersan42 | 6 | 0.8% |
| Maximilian219 | 5 | 0.7% |
| DeniseWt | 5 | 0.7% |
| Other values (208) | 671 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| teemoma | 9 | 1.2% |
| lkmps2021 | 6 | 0.8% |
| nicolasrmg | 6 | 0.8% |
| leahmtmb | 6 | 0.8% |
| kisara2426 | 6 | 0.8% |
| christoph-mantsch | 6 | 0.8% |
| ersan42 | 6 | 0.8% |
| xyily | 6 | 0.8% |
| alexandermueller296 | 5 | 0.7% |
| christian-anghel | 5 | 0.7% |
| Other values (208) | 671 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 618 | 9.3% |
| e | 526 | 7.9% |
| i | 468 | 7.0% |
| n | 381 | 5.7% |
| r | 353 | 5.3% |
| l | 314 | 4.7% |
| s | 256 | 3.9% |
| o | 253 | 3.8% |
| u | 247 | 3.7% |
| h | 192 | 2.9% |
| Other values (53) | 3040 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 4969 | |
| Decimal Number | 928 | 14.0% |
| Uppercase Letter | 716 | 10.8% |
| Dash Punctuation | 35 | 0.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 618 | |
| e | 526 | 10.6% |
| i | 468 | 9.4% |
| n | 381 | 7.7% |
| r | 353 | 7.1% |
| l | 314 | 6.3% |
| s | 256 | 5.2% |
| o | 253 | 5.1% |
| u | 247 | 5.0% |
| h | 192 | 3.9% |
| Other values (16) | 1361 |
Uppercase Letter
| Value | Count | Frequency (%) |
| L | 76 | 10.6% |
| A | 75 | 10.5% |
| M | 73 | 10.2% |
| S | 51 | 7.1% |
| F | 40 | 5.6% |
| K | 35 | 4.9% |
| T | 34 | 4.7% |
| B | 32 | 4.5% |
| C | 30 | 4.2% |
| J | 28 | 3.9% |
| Other values (16) | 242 |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 179 | |
| 1 | 164 | |
| 0 | 159 | |
| 9 | 97 | |
| 4 | 86 | |
| 8 | 64 | 6.9% |
| 7 | 53 | 5.7% |
| 3 | 47 | 5.1% |
| 6 | 46 | 5.0% |
| 5 | 33 | 3.6% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 35 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 5685 | |
| Common | 963 | 14.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 618 | 10.9% |
| e | 526 | 9.3% |
| i | 468 | 8.2% |
| n | 381 | 6.7% |
| r | 353 | 6.2% |
| l | 314 | 5.5% |
| s | 256 | 4.5% |
| o | 253 | 4.5% |
| u | 247 | 4.3% |
| h | 192 | 3.4% |
| Other values (42) | 2077 |
Common
| Value | Count | Frequency (%) |
| 2 | 179 | |
| 1 | 164 | |
| 0 | 159 | |
| 9 | 97 | |
| 4 | 86 | |
| 8 | 64 | 6.6% |
| 7 | 53 | 5.5% |
| 3 | 47 | 4.9% |
| 6 | 46 | 4.8% |
| - | 35 | 3.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6648 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 618 | 9.3% |
| e | 526 | 7.9% |
| i | 468 | 7.0% |
| n | 381 | 5.7% |
| r | 353 | 5.3% |
| l | 314 | 4.7% |
| s | 256 | 3.9% |
| o | 253 | 3.8% |
| u | 247 | 3.7% |
| h | 192 | 2.9% |
| Other values (53) | 3040 |
Front-Matter
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 42.4 KiB |
| ja | |
|---|---|
| nein | 58 |
Length
| Max length | 4 |
|---|---|
| Median length | 2 |
| Mean length | 2.158469945 |
| Min length | 2 |
Characters and Unicode
| Total characters | 1580 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | ja |
|---|---|
| 2nd row | ja |
| 3rd row | ja |
| 4th row | ja |
| 5th row | ja |
Common Values
| Value | Count | Frequency (%) |
| ja | 674 | |
| nein | 58 | 7.9% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| ja | 674 | |
| nein | 58 | 7.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| j | 674 | |
| a | 674 | |
| n | 116 | 7.3% |
| e | 58 | 3.7% |
| i | 58 | 3.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1580 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| j | 674 | |
| a | 674 | |
| n | 116 | 7.3% |
| e | 58 | 3.7% |
| i | 58 | 3.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1580 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| j | 674 | |
| a | 674 | |
| n | 116 | 7.3% |
| e | 58 | 3.7% |
| i | 58 | 3.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1580 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| j | 674 | |
| a | 674 | |
| n | 116 | 7.3% |
| e | 58 | 3.7% |
| i | 58 | 3.7% |
Umfang
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 42.5 KiB |
| ja | |
|---|---|
| nein | |
| Nein | 1 |
Length
| Max length | 4 |
|---|---|
| Median length | 2 |
| Mean length | 2.322404372 |
| Min length | 2 |
Characters and Unicode
| Total characters | 1700 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | ja |
|---|---|
| 2nd row | ja |
| 3rd row | ja |
| 4th row | ja |
| 5th row | ja |
Common Values
| Value | Count | Frequency (%) |
| ja | 614 | |
| nein | 117 | 16.0% |
| Nein | 1 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| ja | 614 | |
| nein | 118 | 16.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| j | 614 | |
| a | 614 | |
| n | 235 | 13.8% |
| e | 118 | 6.9% |
| i | 118 | 6.9% |
| N | 1 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1699 | |
| Uppercase Letter | 1 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| j | 614 | |
| a | 614 | |
| n | 235 | 13.8% |
| e | 118 | 6.9% |
| i | 118 | 6.9% |
Uppercase Letter
| Value | Count | Frequency (%) |
| N | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1700 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| j | 614 | |
| a | 614 | |
| n | 235 | 13.8% |
| e | 118 | 6.9% |
| i | 118 | 6.9% |
| N | 1 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1700 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| j | 614 | |
| a | 614 | |
| n | 235 | 13.8% |
| e | 118 | 6.9% |
| i | 118 | 6.9% |
| N | 1 | 0.1% |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 42.4 KiB |
| ja | |
|---|---|
| nein | |
| Ja | 1 |
Length
| Max length | 4 |
|---|---|
| Median length | 2 |
| Mean length | 2.18852459 |
| Min length | 2 |
Characters and Unicode
| Total characters | 1602 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | ja |
|---|---|
| 2nd row | ja |
| 3rd row | nein |
| 4th row | ja |
| 5th row | ja |
Common Values
| Value | Count | Frequency (%) |
| ja | 662 | |
| nein | 69 | 9.4% |
| Ja | 1 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| ja | 663 | |
| nein | 69 | 9.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 663 | |
| j | 662 | |
| n | 138 | 8.6% |
| e | 69 | 4.3% |
| i | 69 | 4.3% |
| J | 1 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1601 | |
| Uppercase Letter | 1 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 663 | |
| j | 662 | |
| n | 138 | 8.6% |
| e | 69 | 4.3% |
| i | 69 | 4.3% |
Uppercase Letter
| Value | Count | Frequency (%) |
| J | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1602 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 663 | |
| j | 662 | |
| n | 138 | 8.6% |
| e | 69 | 4.3% |
| i | 69 | 4.3% |
| J | 1 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1602 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 663 | |
| j | 662 | |
| n | 138 | 8.6% |
| e | 69 | 4.3% |
| i | 69 | 4.3% |
| J | 1 | 0.1% |
Links
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 42.5 KiB |
| ja | |
|---|---|
| nein |
Length
| Max length | 4 |
|---|---|
| Median length | 2 |
| Mean length | 2.234972678 |
| Min length | 2 |
Characters and Unicode
| Total characters | 1636 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | ja |
|---|---|
| 2nd row | ja |
| 3rd row | nein |
| 4th row | ja |
| 5th row | ja |
Common Values
| Value | Count | Frequency (%) |
| ja | 646 | |
| nein | 86 | 11.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| ja | 646 | |
| nein | 86 | 11.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| j | 646 | |
| a | 646 | |
| n | 172 | 10.5% |
| e | 86 | 5.3% |
| i | 86 | 5.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1636 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| j | 646 | |
| a | 646 | |
| n | 172 | 10.5% |
| e | 86 | 5.3% |
| i | 86 | 5.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1636 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| j | 646 | |
| a | 646 | |
| n | 172 | 10.5% |
| e | 86 | 5.3% |
| i | 86 | 5.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1636 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| j | 646 | |
| a | 646 | |
| n | 172 | 10.5% |
| e | 86 | 5.3% |
| i | 86 | 5.3% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 42.4 KiB |
| ja | |
|---|---|
| nein | 56 |
Length
| Max length | 4 |
|---|---|
| Median length | 2 |
| Mean length | 2.153005464 |
| Min length | 2 |
Characters and Unicode
| Total characters | 1576 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | ja |
|---|---|
| 2nd row | ja |
| 3rd row | nein |
| 4th row | ja |
| 5th row | ja |
Common Values
| Value | Count | Frequency (%) |
| ja | 676 | |
| nein | 56 | 7.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| ja | 676 | |
| nein | 56 | 7.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| j | 676 | |
| a | 676 | |
| n | 112 | 7.1% |
| e | 56 | 3.6% |
| i | 56 | 3.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1576 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| j | 676 | |
| a | 676 | |
| n | 112 | 7.1% |
| e | 56 | 3.6% |
| i | 56 | 3.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1576 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| j | 676 | |
| a | 676 | |
| n | 112 | 7.1% |
| e | 56 | 3.6% |
| i | 56 | 3.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1576 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| j | 676 | |
| a | 676 | |
| n | 112 | 7.1% |
| e | 56 | 3.6% |
| i | 56 | 3.6% |
Verlinkungen vorhanden
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 42.6 KiB |
| ja | |
|---|---|
| nein | |
| Nein | 1 |
Length
| Max length | 4 |
|---|---|
| Median length | 2 |
| Mean length | 2.420765027 |
| Min length | 2 |
Characters and Unicode
| Total characters | 1772 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | nein |
|---|---|
| 2nd row | nein |
| 3rd row | nein |
| 4th row | ja |
| 5th row | ja |
Common Values
| Value | Count | Frequency (%) |
| ja | 578 | |
| nein | 153 | 20.9% |
| Nein | 1 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| ja | 578 | |
| nein | 154 | 21.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| j | 578 | |
| a | 578 | |
| n | 307 | |
| e | 154 | 8.7% |
| i | 154 | 8.7% |
| N | 1 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1771 | |
| Uppercase Letter | 1 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| j | 578 | |
| a | 578 | |
| n | 307 | |
| e | 154 | 8.7% |
| i | 154 | 8.7% |
Uppercase Letter
| Value | Count | Frequency (%) |
| N | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1772 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| j | 578 | |
| a | 578 | |
| n | 307 | |
| e | 154 | 8.7% |
| i | 154 | 8.7% |
| N | 1 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1772 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| j | 578 | |
| a | 578 | |
| n | 307 | |
| e | 154 | 8.7% |
| i | 154 | 8.7% |
| N | 1 | 0.1% |
Abbildungen
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 42.5 KiB |
| ja | |
|---|---|
| nein |
Length
| Max length | 4 |
|---|---|
| Median length | 2 |
| Mean length | 2.215846995 |
| Min length | 2 |
Characters and Unicode
| Total characters | 1622 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | ja |
|---|---|
| 2nd row | ja |
| 3rd row | ja |
| 4th row | ja |
| 5th row | ja |
Common Values
| Value | Count | Frequency (%) |
| ja | 653 | |
| nein | 79 | 10.8% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| ja | 653 | |
| nein | 79 | 10.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| j | 653 | |
| a | 653 | |
| n | 158 | 9.7% |
| e | 79 | 4.9% |
| i | 79 | 4.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1622 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| j | 653 | |
| a | 653 | |
| n | 158 | 9.7% |
| e | 79 | 4.9% |
| i | 79 | 4.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1622 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| j | 653 | |
| a | 653 | |
| n | 158 | 9.7% |
| e | 79 | 4.9% |
| i | 79 | 4.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1622 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| j | 653 | |
| a | 653 | |
| n | 158 | 9.7% |
| e | 79 | 4.9% |
| i | 79 | 4.9% |
| Distinct | 9 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.021857923 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 6.55 |
| Q1 | 8 |
| median | 10 |
| Q3 | 10 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.468152693 |
|---|---|
| Coefficient of variation (CV) | 0.1627328545 |
| Kurtosis | 8.007199061 |
| Mean | 9.021857923 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -2.399388663 |
| Sum | 6604 |
| Variance | 2.15547233 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 10 | 388 | |
| 9 | 153 | 20.9% |
| 8 | 104 | 14.2% |
| 7 | 50 | 6.8% |
| 6 | 16 | 2.2% |
| 5 | 7 | 1.0% |
| 1 | 6 | 0.8% |
| 4 | 4 | 0.5% |
| 3 | 4 | 0.5% |
| Value | Count | Frequency (%) |
| 1 | 6 | 0.8% |
| 3 | 4 | 0.5% |
| 4 | 4 | 0.5% |
| 5 | 7 | 1.0% |
| 6 | 16 | 2.2% |
| 7 | 50 | 6.8% |
| 8 | 104 | 14.2% |
| 9 | 153 | 20.9% |
| 10 | 388 |
| Value | Count | Frequency (%) |
| 10 | 388 | |
| 9 | 153 | 20.9% |
| 8 | 104 | 14.2% |
| 7 | 50 | 6.8% |
| 6 | 16 | 2.2% |
| 5 | 7 | 1.0% |
| 4 | 4 | 0.5% |
| 3 | 4 | 0.5% |
| 1 | 6 | 0.8% |
| Distinct | 9 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.857923497 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 8 |
| median | 9 |
| Q3 | 10 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.428278044 |
|---|---|
| Coefficient of variation (CV) | 0.1612429871 |
| Kurtosis | 5.612720964 |
| Mean | 8.857923497 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -1.946409586 |
| Sum | 6484 |
| Variance | 2.039978172 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 10 | 313 | |
| 9 | 193 | |
| 8 | 132 | |
| 7 | 46 | 6.3% |
| 6 | 24 | 3.3% |
| 5 | 13 | 1.8% |
| 4 | 5 | 0.7% |
| 1 | 4 | 0.5% |
| 3 | 2 | 0.3% |
| Value | Count | Frequency (%) |
| 1 | 4 | 0.5% |
| 3 | 2 | 0.3% |
| 4 | 5 | 0.7% |
| 5 | 13 | 1.8% |
| 6 | 24 | 3.3% |
| 7 | 46 | 6.3% |
| 8 | 132 | |
| 9 | 193 | |
| 10 | 313 |
| Value | Count | Frequency (%) |
| 10 | 313 | |
| 9 | 193 | |
| 8 | 132 | |
| 7 | 46 | 6.3% |
| 6 | 24 | 3.3% |
| 5 | 13 | 1.8% |
| 4 | 5 | 0.7% |
| 3 | 2 | 0.3% |
| 1 | 4 | 0.5% |
| Distinct | 10 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.728142077 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 8 |
| median | 9 |
| Q3 | 10 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.510066665 |
|---|---|
| Coefficient of variation (CV) | 0.1730112378 |
| Kurtosis | 4.301550033 |
| Mean | 8.728142077 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -1.730826413 |
| Sum | 6389 |
| Variance | 2.280301331 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 10 | 292 | |
| 9 | 189 | |
| 8 | 123 | |
| 7 | 74 | 10.1% |
| 6 | 26 | 3.6% |
| 5 | 14 | 1.9% |
| 4 | 7 | 1.0% |
| 1 | 4 | 0.5% |
| 3 | 2 | 0.3% |
| 2 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 1 | 4 | 0.5% |
| 2 | 1 | 0.1% |
| 3 | 2 | 0.3% |
| 4 | 7 | 1.0% |
| 5 | 14 | 1.9% |
| 6 | 26 | 3.6% |
| 7 | 74 | 10.1% |
| 8 | 123 | |
| 9 | 189 | |
| 10 | 292 |
| Value | Count | Frequency (%) |
| 10 | 292 | |
| 9 | 189 | |
| 8 | 123 | |
| 7 | 74 | 10.1% |
| 6 | 26 | 3.6% |
| 5 | 14 | 1.9% |
| 4 | 7 | 1.0% |
| 3 | 2 | 0.3% |
| 2 | 1 | 0.1% |
| 1 | 4 | 0.5% |
| Distinct | 9 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.095628415 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 7 |
| Q1 | 9 |
| median | 10 |
| Q3 | 10 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.328064951 |
|---|---|
| Coefficient of variation (CV) | 0.1460113463 |
| Kurtosis | 11.31776017 |
| Mean | 9.095628415 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -2.70585198 |
| Sum | 6658 |
| Variance | 1.763756513 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 10 | 375 | |
| 9 | 181 | |
| 8 | 119 | 16.3% |
| 7 | 27 | 3.7% |
| 6 | 16 | 2.2% |
| 1 | 6 | 0.8% |
| 5 | 5 | 0.7% |
| 4 | 2 | 0.3% |
| 3 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 1 | 6 | 0.8% |
| 3 | 1 | 0.1% |
| 4 | 2 | 0.3% |
| 5 | 5 | 0.7% |
| 6 | 16 | 2.2% |
| 7 | 27 | 3.7% |
| 8 | 119 | 16.3% |
| 9 | 181 | |
| 10 | 375 |
| Value | Count | Frequency (%) |
| 10 | 375 | |
| 9 | 181 | |
| 8 | 119 | 16.3% |
| 7 | 27 | 3.7% |
| 6 | 16 | 2.2% |
| 5 | 5 | 0.7% |
| 4 | 2 | 0.3% |
| 3 | 1 | 0.1% |
| 1 | 6 | 0.8% |
| Distinct | 10 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.855191257 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 5 |
| Q1 | 8 |
| median | 10 |
| Q3 | 10 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.760895445 |
|---|---|
| Coefficient of variation (CV) | 0.198854592 |
| Kurtosis | 4.876495717 |
| Mean | 8.855191257 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -2.069898795 |
| Sum | 6482 |
| Variance | 3.100752768 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 10 | 401 | |
| 9 | 120 | 16.4% |
| 8 | 88 | 12.0% |
| 7 | 47 | 6.4% |
| 6 | 34 | 4.6% |
| 5 | 24 | 3.3% |
| 1 | 8 | 1.1% |
| 2 | 5 | 0.7% |
| 3 | 3 | 0.4% |
| 4 | 2 | 0.3% |
| Value | Count | Frequency (%) |
| 1 | 8 | 1.1% |
| 2 | 5 | 0.7% |
| 3 | 3 | 0.4% |
| 4 | 2 | 0.3% |
| 5 | 24 | 3.3% |
| 6 | 34 | 4.6% |
| 7 | 47 | 6.4% |
| 8 | 88 | 12.0% |
| 9 | 120 | 16.4% |
| 10 | 401 |
| Value | Count | Frequency (%) |
| 10 | 401 | |
| 9 | 120 | 16.4% |
| 8 | 88 | 12.0% |
| 7 | 47 | 6.4% |
| 6 | 34 | 4.6% |
| 5 | 24 | 3.3% |
| 4 | 2 | 0.3% |
| 3 | 3 | 0.4% |
| 2 | 5 | 0.7% |
| 1 | 8 | 1.1% |
| Distinct | 10 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.139344262 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 6.55 |
| Q1 | 9 |
| median | 10 |
| Q3 | 10 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.470078627 |
|---|---|
| Coefficient of variation (CV) | 0.1608516525 |
| Kurtosis | 9.40792256 |
| Mean | 9.139344262 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -2.708206264 |
| Sum | 6690 |
| Variance | 2.16113117 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 10 | 430 | |
| 9 | 149 | 20.4% |
| 8 | 78 | 10.7% |
| 7 | 38 | 5.2% |
| 5 | 13 | 1.8% |
| 6 | 11 | 1.5% |
| 1 | 6 | 0.8% |
| 3 | 4 | 0.5% |
| 4 | 2 | 0.3% |
| 2 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 1 | 6 | 0.8% |
| 2 | 1 | 0.1% |
| 3 | 4 | 0.5% |
| 4 | 2 | 0.3% |
| 5 | 13 | 1.8% |
| 6 | 11 | 1.5% |
| 7 | 38 | 5.2% |
| 8 | 78 | 10.7% |
| 9 | 149 | 20.4% |
| 10 | 430 |
| Value | Count | Frequency (%) |
| 10 | 430 | |
| 9 | 149 | 20.4% |
| 8 | 78 | 10.7% |
| 7 | 38 | 5.2% |
| 6 | 11 | 1.5% |
| 5 | 13 | 1.8% |
| 4 | 2 | 0.3% |
| 3 | 4 | 0.5% |
| 2 | 1 | 0.1% |
| 1 | 6 | 0.8% |
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| pr_user | rev_user | Front-Matter | Umfang | Belege | Links | Formatierung | Verlinkungen vorhanden | Abbildungen | Strukturierung des Beitrags | Rechtschreibung | Sprache | Inhalt | Einordnung in den Kontext | Ansprechend für Zielgruppe | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | AnnaSophieNi | TommiMueller | ja | ja | ja | ja | ja | nein | ja | 10 | 8 | 10 | 10 | 5 | 10 |
| 1 | AnnaSophieNi | Gilchus | ja | ja | ja | ja | ja | nein | ja | 10 | 9 | 10 | 10 | 7 | 10 |
| 2 | Gilchus | TommiMueller | ja | ja | nein | nein | nein | nein | ja | 7 | 8 | 9 | 10 | 5 | 7 |
| 3 | TommiMueller | ChrisBohl | ja | ja | ja | ja | ja | ja | ja | 9 | 10 | 10 | 10 | 10 | 9 |
| 4 | TommiMueller | biancamg | ja | ja | ja | ja | ja | ja | ja | 8 | 10 | 10 | 10 | 10 | 10 |
| 5 | eddq2000 | ChrisBohl | ja | ja | ja | ja | ja | ja | ja | 10 | 10 | 10 | 8 | 8 | 8 |
| 6 | eddq2000 | ChristinaHartung | ja | nein | ja | ja | ja | ja | ja | 9 | 10 | 10 | 8 | 10 | 10 |
| 7 | eddq2000 | biancamg | ja | nein | ja | ja | ja | ja | ja | 10 | 10 | 10 | 8 | 8 | 10 |
| 8 | ChrisBohl | vegas1337 | nein | ja | ja | ja | nein | ja | ja | 9 | 10 | 10 | 9 | 8 | 10 |
| 9 | ChrisBohl | ChristinaHartung | nein | ja | ja | ja | nein | ja | ja | 10 | 10 | 9 | 9 | 8 | 10 |
Last rows
| pr_user | rev_user | Front-Matter | Umfang | Belege | Links | Formatierung | Verlinkungen vorhanden | Abbildungen | Strukturierung des Beitrags | Rechtschreibung | Sprache | Inhalt | Einordnung in den Kontext | Ansprechend für Zielgruppe | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 722 | hello-pukeko | Leon1906 | ja | ja | ja | ja | ja | ja | ja | 9 | 9 | 8 | 10 | 9 | 10 |
| 723 | fadiarabo | Gilchus | ja | nein | ja | ja | ja | ja | ja | 9 | 8 | 8 | 8 | 7 | 9 |
| 724 | fadiarabo | Gilchus | ja | ja | ja | ja | ja | ja | ja | 10 | 9 | 9 | 10 | 7 | 10 |
| 725 | fadiarabo | AnnaSophieNi | ja | nein | nein | nein | ja | nein | ja | 5 | 7 | 6 | 4 | 5 | 5 |
| 726 | fadiarabo | Leon1906 | ja | ja | ja | ja | ja | ja | ja | 7 | 7 | 7 | 7 | 6 | 7 |
| 727 | Leon1906 | TommiMueller | ja | ja | nein | ja | ja | nein | ja | 8 | 9 | 8 | 7 | 5 | 7 |
| 728 | Leon1906 | Gilchus | ja | ja | ja | ja | ja | nein | ja | 9 | 10 | 9 | 7 | 9 | 10 |
| 729 | Leon1906 | Gilchus | ja | ja | ja | ja | ja | nein | ja | 9 | 10 | 10 | 9 | 7 | 10 |
| 730 | Leon1906 | TommiMueller | ja | ja | nein | ja | ja | nein | ja | 10 | 7 | 6 | 8 | 5 | 7 |
| 731 | Leon1906 | AnnaSophieNi | ja | ja | ja | nein | ja | nein | ja | 7 | 8 | 8 | 8 | 6 | 9 |
Most frequently occurring
| pr_user | rev_user | Front-Matter | Umfang | Belege | Links | Formatierung | Verlinkungen vorhanden | Abbildungen | Strukturierung des Beitrags | Rechtschreibung | Sprache | Inhalt | Einordnung in den Kontext | Ansprechend für Zielgruppe | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | GEDA9263 | Magnus-schn | ja | ja | ja | ja | ja | ja | ja | 10 | 10 | 10 | 10 | 10 | 10 | 2 |
| 1 | LaHe27 | LeahMtmb | ja | ja | ja | ja | ja | ja | ja | 10 | 9 | 8 | 10 | 10 | 9 | 2 |
| 2 | Lukas1401 | nicolasrmg | ja | ja | ja | ja | ja | ja | ja | 10 | 10 | 10 | 10 | 10 | 10 | 2 |
| 3 | Ne88peni | Teemoma | ja | ja | ja | ja | ja | nein | ja | 8 | 9 | 9 | 9 | 9 | 9 | 2 |
| 4 | Ne88peni | Teemoma | ja | ja | ja | ja | ja | nein | nein | 9 | 9 | 10 | 9 | 10 | 9 | 2 |
| 5 | YeldaUzun | xyily | ja | ja | ja | ja | ja | ja | ja | 10 | 9 | 10 | 10 | 10 | 10 | 2 |
| 6 | fa97fyka | Ersan42 | ja | ja | ja | ja | ja | nein | ja | 9 | 8 | 10 | 10 | 9 | 9 | 2 |
| 7 | fa97fyka | Ersan42 | ja | ja | ja | ja | ja | nein | nein | 7 | 9 | 9 | 9 | 10 | 8 | 2 |
| 8 | fe94fiqy | xyily | ja | nein | nein | ja | nein | nein | nein | 3 | 4 | 4 | 8 | 5 | 7 | 2 |
| 9 | ksushaW | Meyu23 | ja | ja | ja | ja | ja | nein | nein | 10 | 10 | 10 | 9 | 8 | 9 | 2 |